Sentence examples for normal data is from inspiring English sources

1-class SVM is a special variant of the general support vector machine (SVM) and since only the normal data is required for training, 1-class SVM is widely used in anomaly detection.

We show that the traditional approach of choosing a threshold as the maximum of the reconstruction error on the training normal data is not the right way to identify unseen falls.

According to the G-P method, a cluster of lnC m (r -ln(r -lnrves of normal data is plotted with the incurves of the embeddinormalension m, as shown in Figure 10.

In another approach, support vector data description (SVDD) [21], the novelty domain of the normal data, is defined as an optimal hypersphere in the feature space, which becomes a set of contours tightly covering the normal data when mapped back to the input space.

Although computations for the robust models may be more than for their normal counterparts, the flexibility of the Bayesian robust mapping for either non-normal or normal data is enough to compensate for the cost.

Continuous normal data were compared using Student's t-test or analysis of variance.

For groups in pairs the non-parametric Mann-Whitney test, or the t test for normal data, were used.

For the comparison of two groups of non-paired data, normal data were compared using the two-tailed unpaired Student's t-test.

For the comparison of two groups of paired data, normal data were compared using the two-tailed paired Student's t-test.

From this, we aim at identifying a time scale for which networks constructed from normal data are different to networks from randomized data, with respect to measures we are using in this paper.

Normal data are described as arithmetic mean ± SD.